When Should a World Model Move? Loss-Conditioned State Execution
Quick summary
arXiv:2609.15801v1 Announce Type: new Abstract: We introduce loss-conditioned state execution, a model-agnostic method that decides whether to execute a world model's fixed feasible proposal or retain the current state. Predictive informativeness alone, however, does not establish whether an update will reduce downstream loss. Occurrence ranking can approach perfection while persistence remains the unique absolute-loss Bayes action. Two transition laws can also share occurrence information and conditional variance yet require opposite absolute-loss decisions. We formalize state movability as t
Key takeaways
- arXiv:2609.15801v1 Announce Type: new Abstract: We introduce loss-conditioned state execution, a model-agnostic method that decides whether to execute a world model's fixed feasible proposal or retain the current state.
- Predictive informativeness alone, however, does not establish whether an update will reduce downstream loss.
- Occurrence ranking can approach perfection while persistence remains the unique absolute-loss Bayes action.
Why it matters
“When Should a World Model Move? Loss-Conditioned State Execution” should be evaluated beyond branding and benchmark scores. Its practical importance will emerge in task accuracy, latency, unit cost, safety and integration with real workflows.
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